• We’re looking for a Principal Software Engineer to join the Ad Attribution team at Snap
• Expertise in ad measurement and attribution systems
• Expertise in at least one of the following areas:
• Large-scale microservices and distributed systems
• Cloud computing and storage systems
• Infrastructure and large-scale system design
• Information Retrieval/Search Systems
• Machine learning for search and/or recommender systems
• Proficiency coding in Java, C++, and/or Python
• Ability to collaborate and work well with others
• BS degree in a technical field such as computer science or equivalent years of experience
• 14+ years of software development experience

Desirable

• The Ad Attribution team develops and maintains systems that power performance advertising on Snap
• The projects range from developing and optimizing high-throughput, highly available mission-critical systems to green-field research and development projects, particularly in privacy centric ad measurement
• The team operates in a cross-functional setting closely collaborating with multiple product and engineering teams including business analytics, causal measurement, targeting and optimization and privacy engineering
• Technical oversight over the lifecycle of the attribution signals from ingestion to use in measurement, ad ranking, and optimization
• Design, implement, and operate our most critical and scalable services - ranging from signal ingestion, identity graph, attribution systems and privacy enhancing technologies such as multi-party computation
• Drive and coordinate large-scale projects spanning Infra, ML and data pipeline components
• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to support Snap’s performance advertising suite
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
• Technical influence that spans the entire company